AI-based platform for small molecules liability profiling
Drug off-target interactions are one of the main reasons of candidate failure in the drug discovery process. Anticipating potential drug’s adverse effects in the early stages is a mandatory step to minimize risks of candidate failure.
ProfhEX is an AI-driven suite of 46 OECD-compliant machine learning models able to profile small molecules on 7 liability groups relevant for drug discovery campaigns, including: cardiotoxicity, neurotoxicity, gastrointestinal toxicity, endocrine disruption, renal, pulmonary, and immune system toxicities.
To estimate a liability profile, upload molecule(s) in SMILES format: ProfhEX will provide downloadable target-inhibition activities together with a summary report.
Available models can be browsed in the Models section.
Available models can be selected in the drop-down list or browsed by liability group in the treemap visualization.
The report displays key model quality information: